Autori: Mioara Varga, Florentina Matei

Editorial: Roumanian Biotechnological Letters, 15 (2), p.4249 – , 2009.

Rezumat:

The prevention of the food product contamination with toxinogenic moulds depends mainly on
the understanding of the fungal alteration phenomenon during the processing, conditioning and
keeping. Consequently it is necessary to have precise diagnostic methods in order to predict and
describe in detail the dynamic of the alteration. One of the useful tools in the predictive mycology is
the statistical modeling, used in this paper in order to describe the mycelia growth of two moulds
isolated from Romanian food.
This article presents aspects of using mathematical and statistical modeling in predictable
microbiology. They are listed as found in literature, theoretical concepts relating to current
mathematical models used in the study of biological processes, statistical analysis techniques
involved in establishing the model primary by mycelia growth, examples are presented for some
experimental data, calculations been made using Excel software and Slide Writer

Cuvinte cheie: food born moulds, statistical modeling, predictive models, growth, toxinogenesis